iPhone 14 Pro
Geekbench AI Score
3476
Single Precision Score
23120
Half Precision Score
26998
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
10098
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
12539
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14337
232.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19460
315.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
101821
118.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103413
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
13027
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14435
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
31995
380.2 IPS |
|
|
Face Detection (Q)
|
100% |
41160
489.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6004
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75805
584.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
96163
751.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18056
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
176016
226.3 IPS |
|
|
Style Transfer (Q)
|
96% |
168639
217.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32924
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39579
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2583
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7596
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8279
143.1 IPS |
